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Boris   Evelson

Boris Evelson

Vice President, Principal Analyst Serving Application Development & Delivery Professionals

Boris serves application development and delivery professionals. He is a leading expert in insights-driven business (IDB) capabilities. Boris delivers strategic guidance, helping enterprises define IDB strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end user experiences.

Boris' current research focuses on the practical and actionable best practices for building IDB strategies and roadmaps, including a holistic look at people, process, data, and technology components. Boris also continues to explore emerging trends such as infusion of AI capabilities into IDB technologies and how advanced IDB capabilities are a key part of modern adaptive enterprises.

Previous Work Experience

Boris has more than 30 years of experience with enterprise software and applications implementation, management consulting, and strategic advisory skills. Most recently, Boris was a managing partner at Textra, a boutique strategic advisory firm serving all IT constituents: users, vendors, and investors. Boris cofounded Textra after spending several years as a VP and a strategic technology advisor at JPMorgan/LabMorgan, where he led many successful internal BI initiatives, advising the bank's large enterprise software clients on enterprise adoption issues and product and marketing strategies. Prior to JPMorgan, Boris served as a senior manager of data warehousing and customer relationship management (CRM) practices at PricewaterhouseCoopers. Boris started his career at Citibank, where, among many other successful projects, he implemented the bank's first global credit risk data warehouse.

Education

Boris holds a degree in music education from Moscow Gnessin School Of Music, Russia.

Boris Evelson

Vice President, Principal Analyst Serving Application Development & Delivery Professionals

Boris serves application development and delivery professionals. He is a leading expert in insights-driven business (IDB) capabilities. Boris delivers strategic guidance, helping enterprises define IDB strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end user experiences.

Boris' current research focuses on the practical and actionable best practices for building IDB strategies and roadmaps, including a holistic look at people, process, data, and technology components. Boris also continues to explore emerging trends such as infusion of AI capabilities into IDB technologies and how advanced IDB capabilities are a key part of modern adaptive enterprises.

Previous Work Experience

Boris has more than 30 years of experience with enterprise software and applications implementation, management consulting, and strategic advisory skills. Most recently, Boris was a managing partner at Textra, a boutique strategic advisory firm serving all IT constituents: users, vendors, and investors. Boris cofounded Textra after spending several years as a VP and a strategic technology advisor at JPMorgan/LabMorgan, where he led many successful internal BI initiatives, advising the bank's large enterprise software clients on enterprise adoption issues and product and marketing strategies. Prior to JPMorgan, Boris served as a senior manager of data warehousing and customer relationship management (CRM) practices at PricewaterhouseCoopers. Boris started his career at Citibank, where, among many other successful projects, he implemented the bank's first global credit risk data warehouse.

Education

Boris holds a degree in music education from Moscow Gnessin School Of Music, Russia.

Boris Evelson's Research

Most RecentMost Popular
  • For Application Development & Delivery Professionals

    REPORT: Now Tech: Digital Decisioning Platforms, Q3 2020

    Forrester's Overview Of 24 Digital Decisioning Platforms Providers

    August 25, 2020 Mike Gualtieri, Boris Evelson

    Digital decisioning platforms (DDPs) streamline and govern digital decision logic authoring, analytics, and execution, so you don't have to fight an uphill battle to manage business rules and/or decision logic buried in spaghetti code. But to realize these benefits, you will first have to select from a diverse set of vendors that vary by size, functionality, geography, and vertical market focus. AD&D pros working with their business colleagues should use this report to understand the value they can expect from a DDP provider and to select one based on size and functionality.

  • For Enterprise Architecture Professionals

    REPORT: More Options, More Confusion — The Paradox Of Intelligent Document Extraction

    Eleven Criteria Will Help You Navigate Through The Fog

    August 24, 2020 Craig Le Clair, Boris Evelson

    Intelligent document extraction platform (IDEP) use case opportunities are heating up. Early solutions offered a high level of automation but a low level of accuracy and provided little insight. Combining computer vision with advances in machine learning has made solutions more valuable and easier to build and maintain. But these improvements make choosing among the platform category alternatives even harder. This report describes the options and provides a downloadable tool to allow enterprise architecture (EA) pros to compare them.

  • For Application Development & Delivery Professionals

    REPORT: Introducing AI-Powered, Human-Controlled Digital Decisioning Platforms

    Use DDPs To Encapsulate Decision Logic Powered By The Best Of Analytics, AI, Math, And Human Logic

    August 11, 2020 Mike Gualtieri, Boris Evelson

    Digital decisioning platforms (DDPs) allow application development and delivery (AD&D) pros to combine the best of human decision logic with the best of AI to implement application-embedded automated decisions, i.e., digital decisions. DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications.

  • For Application Development & Delivery Professionals

    REPORT: The Forrester Wave™: AI-Based Text Analytics Platforms (Document Focused), Q2 2020

    The Nine Providers That Matter Most And How They Stack Up

    June 17, 2020Boris Evelson

    In our 26-criterion evaluation of document-focused AI-based text analytics platforms, we identified the nine most significant ones — AntWorks, EPAM, Expert System, Google, IBM, Micro Focus, OpenText, RavenPack, and SAS — and researched, analyzed, and scored them. This report shows how each provider measures up and helps AD&D professionals and their governance, risk, and compliance (GRC) colleagues select the right one for their needs. Additionally, Forrester recommends that AD&D pros consider the text analytics platforms evaluated in "The Forrester Wave™: AI-Based Text Analytics Platforms (People Focused), Q2 2020," which uses similar evaluation criteria for more people-oriented use cases.

  • For Application Development & Delivery Professionals

    REPORT: The Forrester Wave™: AI-Based Text Analytics Platforms (People Focused), Q2 2020

    The Eight Providers That Matter Most And How They Stack Up

    June 17, 2020Boris Evelson

    In our 27-criterion evaluation of people-focused AI-based text analytics platforms, we identified the eight most significant ones — Clarabridge, EPAM, Expert System, Google, IBM, Micro Focus, OpenText, and SAS — and researched, analyzed, and scored them. This report shows how each provider measures up and helps AD&D professionals and their customer insights (CI) and customer experience (CX) colleagues select the right one for their needs. Additionally, Forrester recommends that AD&D pros consider the text analytics platforms evaluated in "The Forrester Wave™: AI-Based Text Analytics Platforms (Document Focused), Q2 2020," which uses similar evaluation criteria for more document-oriented use cases.

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